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Binary Hybrid Artificial Hummingbird with Flower Pollination Algorithm for Feature Selection in Parkinson’s Disease Diagnosis

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Journal of Bionic Engineering 2024年第2期21卷 1003-1021页

作者： Liuyan Feng yongquan zhou Qifang Luo College of Artificial Intelligence Guangxi University for NationalitiesNanning530006China Xiangsihu College of Guangxi University for Nationalities Nanning532100GuangxiChina Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis Nanning530006China

Parkinson’s disease is a neurodegenerative disorder that inflicts irreversible damage on *** experimental data regarding Parkinson’s patients are redundant and irrelevant,posing significant challenges for disease ***,there is a need to devise an effective method for the selective extraction of disease-specific information,ensuring both accuracy and the utilization of fewer *** this paper,a Binary Hybrid Artificial Hummingbird and Flower Pollination Algorithm(FPA),called BFAHA,is proposed to solve the problem of Parkinson’s disease diagnosis based on speech ***,combining FPA with Artificial Hummingbird Algorithm(AHA)can take advantage of the strong global exploration ability possessed by FPA to improve the disadvantages of AHA,such as premature convergence and easy falling into local ***,the Hemming distance is used to determine the difference between the other individuals in the population and the optimal individual after each iteration,if the difference is too significant,the cross-mutation strategy in the genetic algorithm(GA)is used to induce the population individuals to keep approaching the optimal individual in the random search process to speed up finding the optimal ***,an S-shaped function converts the improved algorithm into a binary version to suit the characteristics of the feature selection(FS)*** this paper,10 high-dimensional datasets from UCI and the ASU are used to test the performance of BFAHA and apply it to Parkinson’s disease *** with other state-of-the-art algorithms,BFAHA shows excellent competitiveness in both the test datasets and the classification problem,indicating that the algorithm proposed in this study has apparent advantages in the field of feature selection.

关键词： Artificial Hummingbird Algorithm Flower pollination algorithm Feature selection Parkinson’s disease Meta-heuristic

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湿垃圾厌氧处理设施的恶臭污染监测研究

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中国资源综合利用 2024年第6期42卷 216-219页

作者：周永泉上海环境卫生工程设计院有限公司上海生活垃圾处理和资源化工程技术研究中心上海200232

恶臭污染是湿垃圾处理过程中常见的环境污染问题之一。以上海某湿垃圾厌氧处理设施为例,开展设施生产环节的内部车间、组织排放口、厂界的恶臭组分、浓度和排放特征研究。结果显示:在“前端除臭+末端收集处理”的除臭措施下,厂界及排放... 详细信息

恶臭污染是湿垃圾处理过程中常见的环境污染问题之一。以上海某湿垃圾厌氧处理设施为例,开展设施生产环节的内部车间、组织排放口、厂界的恶臭组分、浓度和排放特征研究。结果显示:在“前端除臭+末端收集处理”的除臭措施下,厂界及排放口恶臭污染浓度均能满足《恶臭(异味)污染物排放标准》(DB 31/1025—2016)要求;预处理分选车间恶臭污染较严重,恶臭特征因子为总挥发性有机物(Total Volatile Organic Compounds,TVOCs);在垃圾进场高峰期和处理高峰期时恶臭浓度最高。

关键词：湿垃圾处理恶臭污染恶臭监测

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Grey Wolf Optimizer with Ranking-Based Mutation Operator for IIR Model Identification

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Chinese Journal of Electronics 2018年第5期27卷 1071-1079页

作者： ZHANG Sen zhou yongquan College of Information Science and Engineering Guangxi University for Nationalities School Key Laboratory of Guangxi High Schools Complex System and Computational Intelligence

A variant of Grey wolf optimizer(GWO),called grey wolf optimizer with Ranking-based mutation operator(RGWO) is applied to the Infinite impulse response(IIR) system identification problem. RGWO makes GWO faster and more robust. In RGWO, the rankingbased mutation operator is integrated into the GWO to accelerate the convergence speed, and thus enhance the performance. The simulation results over several models are presented and statistically validated. Compared to other robust evolutionary algorithms, RGWO performs significantly better in terms of the quality, speed, and the stability of the final solutions.

关键词： System identification IIR system Grey wolf optimizer Ranking-based mutation operator

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IBMSMA: An Indicator-based Multi-swarm Slime Mould Algorithm for Multi-objective Truss Optimization Problems

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Journal of Bionic Engineering 2023年第3期20卷 1333-1360页

作者： Shihong Yin Qifang Luo yongquan zhou College of Artificial Intelligence Guangxi University for NationalitiesNanning530006China Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis Nanning530006China Xiangsihu College of Guangxi University for Nationalities Nanning530225China

This work proposes an improved multi-objective slime mould algorithm, called IBMSMA, for solving the multi-objective truss optimization problem. In IBMSMA, the chaotic grouping mechanism and dynamic regrouping strategy are employed to improve population diversity;the shift density estimation is used to assess the superiority of search agents and to provide selection pressure for population evolution;and the Pareto external archive is utilized to maintain the convergence and distribution of the non-dominated solution set. To evaluate the performance of IBMSMA, it is applied to eight multi-objective truss optimization problems. The results obtained by IBMSMA are compared with other 14 well-known optimization algorithms on hypervolume, inverted generational distance and spacing-to-extent indicators. The Wilcoxon statistical test and Friedman ranking are used for statistical analysis. The results of this study reveal that IBMSMA can find the Pareto front with better convergence and diversity in less time than state-of-the-art algorithms, demonstrating its capability in tackling large-scale engineering design problems.

关键词： Slime mould algorithm Shift-based density estimation Multi-swarm strategy Multi-objective optimization Truss optimization

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低剂量纸巾添加对餐厨垃圾和厨余垃圾共消化的影响

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环境卫生工程 2024年第4期32卷 36-43页

作者：周永泉李小伟邰俊上海环境卫生工程设计院有限公司上海200232 上海大学环境与化学工程学院上海200444 上海环境集团股份有限公司上海200336

随着垃圾分类的开展,湿垃圾的分出量不断增大,其主要包括家庭厨余垃圾和餐厨垃圾,常采用厌氧消化工艺进行处理。垃圾分选过程中可能会有部分纸巾混入湿垃圾,并一同进入厌氧消化系统。本研究探究纸巾混入(5%,以TS计)对厨余垃圾和餐厨垃... 详细信息

随着垃圾分类的开展,湿垃圾的分出量不断增大,其主要包括家庭厨余垃圾和餐厨垃圾,常采用厌氧消化工艺进行处理。垃圾分选过程中可能会有部分纸巾混入湿垃圾,并一同进入厌氧消化系统。本研究探究纸巾混入(5%,以TS计)对厨余垃圾和餐厨垃圾后续单独和共同厌氧消化的影响,结果表明:纸巾的添加使厨余垃圾组和共消化组累积沼气产量分别提高了5.8%和4.5%,同时促进了NH_(4)^(+)-N浓度的升高和pH的恢复,并引起纤维素降解菌属的相对丰度增加,从而有利于纸巾中纤维素的降解。因此部分纸巾的混入可促进湿垃圾厌氧产沼性能,因而在垃圾分类时并不需要完全剔除纸巾。

关键词：垃圾分类餐厨垃圾厨余垃圾厌氧消化纸巾

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Quantum-Inspired Equilibrium Optimizer for Linear Antenna Array

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 385-413页

作者： Binwen Zhu Qifang Luo yongquan zhou College of Artificial Intelligence Guangxi Minzu UniversityNanning530006China Xiangsihu College of Guangxi Minzu University Nanning532100China Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis Nanning530006China

With the rapid development of communication technology,the problem of antenna array optimization plays a crucial *** many types of antennas,line antenna arrays(LAA)are the most commonly applied,but the side lobe level(SLL)reduction is still a challenging *** the radiation process of the linear antenna array,the high side lobe level will interfere with the intensity of the antenna target radiation *** conventional methods are ineffective in obtaining the maximumside lobe level in synthesis,and this paper proposed a quantum equilibrium optimizer(QEO)algorithm for line antenna ***,the linear antenna array model consists of an array element *** factor(AF)can be expressed as the combination of array excitation amplitude and position in array ***,inspired by the powerful computing power of quantum computing,an improved quantum equilibrium optimizer combining quantum coding and quantum rotation gate strategy is ***,the proposed quantum equilibrium optimizer is used to optimize the excitation amplitude of the array elements in the linear antenna array model by numerical simulation to minimize the interference of the side lobe level to the main lobe *** differentmetaheuristic algorithms are used to optimize the excitation amplitude in three different arrays of line antenna arrays,the experimental results indicated that the quantum equilibrium optimizer is more advantageous in obtaining the maximum side lobe level *** with other metaheuristic optimization algorithms,the quantum equilibrium optimizer has advantages in terms of convergence speed and accuracy.

关键词： Linear antenna array equilibrium optimizer quantum equilibrium optimizer side lobe level metaheuristic optimization

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Wind Driven Butterfly Optimization Algorithm with Hybrid Mechanism Avoiding Natural Enemies for Global Optimization and PID Controller Design

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Journal of Bionic Engineering 2023年第6期20卷 2935-2972页

作者： Yang He yongquan zhou Yuanfei Wei Qifang Luo Wu Deng College of Artificial Intelligence Guangxi University for NationalitiesNanning530006China College of Electronic Information and Automation Civil Aviation University of ChinaTianjin300300China Faculty of Information Science and Technology Universiti Kebangsaan Malaysia43600BangiSelangorMalaysia Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis Nanning530006China

This paper presents a Butterfly Optimization Algorithm(BOA)with a wind-driven mechanism for avoiding natural enemies known as *** further balance the basic BOA algorithm's exploration and exploitation capabilities,the butterfly actions were divided into downwind and upwind *** algorithm of exploration ability was improved with the wind,while the algorithm of exploitation ability was improved against the ***,a mechanism of avoiding natural enemies based on Lévy flight was introduced for the purpose of enhancing its global searching *** at improving the explorative performance at the initial stages and later stages,the fragrance generation method was *** evaluate the effectiveness of the suggested algorithm,a comparative study was done with six classical metaheuristic algorithms and three BOA variant optimization techniques on 18 benchmark ***,the performance of the suggested technique in addressing some complicated problems in various dimensions was evaluated using CEC 2017 and CEC ***,the WDBOA algorithm is used proportional-integral-derivative(PID)controller parameter *** results demonstrate that the WDBOA based PID controller has better control performance in comparison with other PID controllers tuned by the Genetic Algorithm(GA),Flower Pollination Algorithm(FPA),Cuckoo Search(CS)and BOA.

关键词： Butterfly Optimization Algorithm(BOA) Wind Driven Optimization(WDO) Benchmark functions Global optimization Proportional integral derivative(PID) Metaheuristic

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黑水虻对不同湿垃圾分选固渣的生物转化效能研究

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中国资源综合利用 2024年第7期42卷 108-112页

作者：周永泉邰俊欧阳创上海环境卫生工程设计院有限公司上海生活垃圾处理和资源化工程技术研究中心上海200232

采用黑水虻生物转化技术能够提升湿垃圾厌氧处理的效率。为验证餐饮垃圾、厨余垃圾及其预处理固渣作为黑水虻饲养基质的可行性,开展黑水虻养殖效能研究。结果表明,6种湿垃圾固渣均可满足黑水虻的基本生长需求,但转化速率存在差异;物料... 详细信息

采用黑水虻生物转化技术能够提升湿垃圾厌氧处理的效率。为验证餐饮垃圾、厨余垃圾及其预处理固渣作为黑水虻饲养基质的可行性,开展黑水虻养殖效能研究。结果表明,6种湿垃圾固渣均可满足黑水虻的基本生长需求,但转化速率存在差异;物料的含水率、粒径、脂肪、总营养量对黑水虻高产虫率具有正向影响,物料的脂肪含量和碳氮比与虫体脂肪含量呈正相关关系。

关键词：湿垃圾处理黑水虻效能研究

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碳化硅陶瓷超快激光双光束精密抛光技术研究

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激光技术 2024年第2期48卷 180-187页

作者：肖海兵张庆茂谭小军周泳全张卫罗博伟深圳信息职业技术学院智能制造与装备学院深圳518172 华南师范大学信息光电子科技学院、广东省微纳光子功能材料与器件重点实验室广州510006

为了有效提高碳化硅陶瓷材料抛光精度,采用了一种红外脉冲和超快紫外皮秒激光双光束抛光碳化硅陶瓷技术。通过红外纳秒激光与超快紫外皮秒激光抛光碳化硅陶瓷材料激光双光束抛光方法,实验研究了激光功率、重复频率、扫描速率、离焦量等... 详细信息

为了有效提高碳化硅陶瓷材料抛光精度,采用了一种红外脉冲和超快紫外皮秒激光双光束抛光碳化硅陶瓷技术。通过红外纳秒激光与超快紫外皮秒激光抛光碳化硅陶瓷材料激光双光束抛光方法,实验研究了激光功率、重复频率、扫描速率、离焦量等抛光工艺参数对抛光SiC表面质量的影响。结果表明,在激光功率24 W、扫描速率200 mm/s、激光重复频率500 kHz、离焦1 mm时,陶瓷表面粗糙度达到最优,激光双光束抛光和单光束抛光原始粗糙度碳化硅2.87μm分别下降至0.42μm和0.53μm;激光双光束抛光SiC陶瓷致密化,陶瓷表面呈现有规律的整齐排列,且碳化硅抛光表面的晶粒平均大小为1.48μm,表面力学性能得到改善。该研究为陶瓷等硬脆材料激光精密抛光提供了参考。

关键词：激光技术激光抛光超快光学激光双光束碳化硅陶瓷表面形貌

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NiCo普鲁士蓝类似物中空纳米泡的制备及其Cs^(+)吸附性能研究

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无机盐工业 2024年第10期56卷 55-63,150页

作者：王航宇杜以法郭霞那钰萱万玛措周永全中国科学院青海盐湖研究所中国科学院盐湖资源综合高效利用重点实验室青海西宁810008 中国科学院大学北京100049 临沂大学化学与化工学院山东临沂276300 青海师范大学化学化工学院青海西宁810008

铯离子(Cs^(+))的高效分离在资源利用和生态安全上都具有重要意义。开发具有高容量和高选择性的Cs^(+)吸附剂是一项具有挑战性的任务。以棱柱状四方乙酸钴镍前驱体为模板,采用自模板法绿色高效地成功合成了用于有效去除Cs^(+)的Ni Co-PB... 详细信息

铯离子(Cs^(+))的高效分离在资源利用和生态安全上都具有重要意义。开发具有高容量和高选择性的Cs^(+)吸附剂是一项具有挑战性的任务。以棱柱状四方乙酸钴镍前驱体为模板,采用自模板法绿色高效地成功合成了用于有效去除Cs^(+)的Ni Co-PBA中空纳米泡吸附剂(Ni Co-PBA HNB)。通过傅里叶变换红外光谱仪(FT-IR)、X射线衍射仪(XRD)、透射电子显微镜(TEM)和能谱仪(EDS)等对Ni Co-PBA HNB进行了表征。实验结果表明:Ni CoPBA HNB具有高比表面积(195.09 m^(2)/g)和介孔(10.21 nm)分布。得益于其独特的纳米结构和孔特性,Ni Co-PBA HNB能够在30 min内达到吸附平衡,其最大吸附容量可达317.59 mg/g,吸附过程符合准二级动力学模型。即使在高浓度K+(0.1 mol/L)共存的情况下,分布系数(8.82×10^(3)m L/g)仍保持在较高水平。此外,Ni Co-PBA HNB的吸附机理主要为晶体内的K+与溶液中的Cs^(+)的离子交换。

关键词：自模板法镍钴普鲁士蓝类似物中空泡结构铯吸附剂

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